Remote Sensing Data Analysis

Catalog description

This course introduces students to advanced data collection and analysis methods in support of uncrewed and autonomous system (UNSY) application for remote sensing (RS) purposes. A comprehensive review of RS in the UNSY context is provided, and students will have the opportunity to explore concepts, methods, and tools of RS data analysis and management through hands-on interactive manipulation of real-world examples as well as virtualizations. Students will gain further operational awareness of RS requirements and considerations for the task-oriented application of UNSYs and develop the knowledge and skills to support graduate-level research objectives with RS-data-based analysis methods. With the successful completion of this course, a student can expect to have gained further comprehension of key factors supporting the purposeful, productive, and replicable employment of UNSYs in real-world-relevant RS use cases and developed competencies in planning UNSY-based RS data collection and management as well as analysis of results and presentation of findings.